Reportei MCP Server for CursorGive Cursor instant access to 10 tools to Add Reportei Event, Create Report, Get Client, and more
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
Ask AI about this App Connector for Cursor
The Reportei app connector for Cursor is a standout in the Industry Titans category — giving your AI agent 10 tools to work with, ready to go from day one.
Vinkius delivers Streamable HTTP and SSE to any MCP client
Vinkius Desktop App
The modern way to manage MCP Servers — no config files, no terminal commands. Install Reportei and 3,400+ MCP Servers from a single visual interface.
{
"mcpServers": {
"reportei": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About Reportei MCP Server
Connect your Reportei account to any AI agent and take full control of your digital marketing orchestration and reporting workflows through natural conversation. Reportei provides a premier platform for consolidating metrics from social networks and ad platforms, and this integration allows you to retrieve project metadata, monitor report generation, and log important timeline events directly from your chat interface.
Cursor's Agent mode turns Reportei into an in-editor superpower. Ask Cursor to generate code using live data from Reportei and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
What you can do
- Project & Client Orchestration — List all managed marketing projects and retrieve detailed client metadata programmatically.
- Report & Analysis Intelligence — Access and monitor generated reports and retrieve detailed performance metadata directly from the AI interface.
- Metric & Performance Tracking — Retrieve real-time data from connected channels like Instagram, Facebook, and Google Ads via natural language.
- Timeline & Event Control — Create and list project timeline events to maintain a comprehensive history of marketing actions and results.
- Operational Monitoring — Track system activity and manage project settings using simple AI commands to ensure your reporting is always optimized.
The Reportei MCP Server exposes 10 tools through the Vinkius. Connect it to Cursor in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
All 10 Reportei tools available for Cursor
When Cursor connects to Reportei through Vinkius, your AI agent gets direct access to every tool listed below — spanning marketing-analytics, performance-reporting, social-media-metrics, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.
Add a timeline event
Generate a new analytics report
Get details for a specific client
Get details for a specific report
Get raw metrics data
List all clients
List all connected integrations
List all marketing projects
You can filter by project ID. List generated reports
List timeline events
Connect Reportei to Cursor via MCP
Follow these steps to wire Reportei into Cursor. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.
Open MCP Settings
Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"Add the server config
mcp.json file that opensSave the file
Start using Reportei
Why Use Cursor with the Reportei MCP Server
Cursor AI Code Editor provides unique advantages when paired with Reportei through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
Reportei + Cursor Use Cases
Practical scenarios where Cursor combined with the Reportei MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
Example Prompts for Reportei in Cursor
Ready-to-use prompts you can give your Cursor agent to start working with Reportei immediately.
"List all active marketing projects in my Reportei account."
"Generate a comprehensive marketing report for all social media channels from last month."
"Show me all projects and their connected integrations with data freshness status."
Troubleshooting Reportei MCP Server with Cursor
Common issues when connecting Reportei to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
Reportei + Cursor FAQ
Common questions about integrating Reportei MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.